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Smart Garden Watering Pro Kit with Arduino Mega + DHT22
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Smart Garden Pro Kit: Arduino Mega, DHT22, Regression Model - Predict Yield

SKU: CDN-KIT-3649-CL-SLD Brand: Compoden Category: Electronics > School & STEM Projects > Project Kits
Rs. 2,500.00
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Build a Multivariate Regression Model to Predict Yield

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Difficulty: Advanced Build Time: 5-6 hrs Age: 18-21 Skill: Multivariate regression & IoT data logging

Turn your garden into a precision agriculture testbed. This advanced kit deploys an Arduino Mega 2560 sensor network that logs soil moisture, ambient temperature, humidity, and light intensity every hour for four weeks. The resulting time-series CSV becomes the training data for a multivariate regression model you'll code yourself - predicting crop yield from environmental inputs just like agritech startups and research farm trials.

What You'll Build

A self-contained data logger with an OLED live display and microSD archival. Three soil moisture sensors, two DHT22 humidity/temperature nodes, and a BH1750 ambient light sensor feed into the Mega, all timestamped by the DS3231 RTC. After collecting several thousand hourly readings, you'll export the CSV, preprocess the data, and build a regression pipeline in Python to forecast garden yield - complete with a dashboard that shows how each variable influences growth.

What You'll Learn

  • Design a multi-sensor data acquisition system on Arduino Mega 2560, wiring over a dozen analog and I2C devices without signal crosstalk.
  • Implement reliable hourly logging with DS3231 RTC interrupts and a microSD module, ensuring zero data loss across weeks of autonomous operation.
  • Preprocess raw sensor arrays: normalize soil moisture readings, interpolate missing DHT22 humidity points, and apply a moving average to BH1750 light values.
  • Build, train, and validate a multivariate regression model in Python (scikit-learn) to predict garden yield from historical environmental data.

Kit Contents

Component Quantity
Arduino Mega 2560 1
DHT22 2
Soil Moisture Sensor 3
BH1750 1
DS3231 RTC 1
MicroSD Module 1
0.96in OLED 1
4.7k? Resistors 10
10k? Resistors 10
100nF Capacitors 15
PCB Prototype Board 2
9V Battery Snap 1
Soldering Iron 1
Solder Wire 1

Why Buy This Kit Instead of Sourcing Parts Separately

Factor Sourcing Separately Compoden Kit
Compatibility checks You verify every part Pre-tested as a system
Build support Forums and scattered tutorials AI companion trained on this exact project
Time to first working build Days of debugging Hours, with step-by-step guidance
Shipping coordination Multiple sellers, multiple delays One shipment from Bengaluru in 3-5 days

Who This Kit Is For

This kit is built for B.Tech ECE/EEE undergraduates preparing their minor or major project, Smart India Hackathon participants working on precision agriculture, and research interns at NITs, VIT, or BITS Pilani who need a reproducible sensor platform for IoT-in-agriculture papers. It's also a perfect CBSE Class 12 informatics practices project - real hardware meets data science in one rigorous build.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.

What if I get stuck during the build?

The AI companion walks you through every connection and code block; if you still need a human, message us on WhatsApp - we'll help you debug the same day.

Does the kit include the regression model code?

The AI companion teaches you to write the Python regression from scratch (with scikit-learn), step by step, using the exact CSV your logger generates. No blind copy-paste - you'll understand every line.

Can I extend the logging period beyond 4 weeks?

Absolutely. The microSD module can store months of hourly data. The companion shows you how to adjust RTC alarms and manage file rollovers for uninterrupted long-term collection.

What if a DHT22 or soil sensor fails during the replacement window?

Report any manufacturing defect within 7 days of delivery, and we'll ship a free replacement immediately - no questions about your soldering or wiring.

Garden - Temperature, humidity, soil, light logged daily for 4 weeks. Regression model predicts yield.

What's in this kit

Choose your assembly option:

  • Soldering Kit - 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
  • Breadboard Combo - 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.

Shipping Information

  • Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
  • COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
  • Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location

Returns & Warranty

  • 7-Day Return: Manufacturing defects only (approval required)
  • Warranty: 7 days from delivery
  • Non-Returnable: Batteries, consumables, cut wires, clearance items

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